Fish functional groups of the North Atlantic and Arctic Oceans

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Earth System Science Data Pub Date : 2024-06-17 DOI:10.5194/essd-2024-102
Murray S. A. Thompson, Izaskun Preciado, Federico Maioli, Valerio Bartolino, Andrea Belgrano, Michele Casini, Pierre Cresson, Elena Eriksen, Gema Hernandez-Milian, Ingibjörg G. Jónsdóttir, Stefan Neuenfeldt, John F. Pinnegar, Stefán Ragnarsson, Sabine Schueckel, Ulrike Schueckel, Brian E. Smith, María Á. Torres, Thomas J. Webb, Christopher P. Lynam
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Abstract

Abstract. International efforts to assess the status of marine ecosystems have been hampered by insufficient observations of food web interactions across many species, their various life stages, and geographic ranges. Hence, we collated data from multiple databases of fish stomach contents from samples taken across the North Atlantic and Arctic Oceans containing 944,129 stomach samples from larvae to adults, with 14,196 unique interactions between 227 predator species and 2158 prey taxa. We use these data to develop a data-driven, reproducible approach to classifying broad functional feeding guilds and then apply these to fish survey data from the Northeast Atlantic shelf seas to reveal spatial and temporal changes in ecosystem structure and functioning. In doing so, we construct predator-prey body size scaling models to predict the biomass of prey functional groups, e.g., zooplankton, benthos, and fish, for different predator species. These predictions provide empirical estimates of species- and size-specific feeding traits of fish, such as predator-prey mass ratios, individual prey mass, and the biomass contribution of different prey to predator diets. The functional groupings and feeding traits provided here help to further resolve our understanding of interactions within marine food webs and support the use of trait-based indicators in biodiversity assessments. The data used and predictions generated in this study are published on the Cefas Data Hub at: https://doi.org/10.14466/CefasDataHub.149 (Thompson et al., 2024).
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北大西洋和北冰洋的鱼类功能群
摘要由于对许多物种、其不同生命阶段和地理范围的食物网相互作用观察不足,国际上评估海洋生态系统状况的工作受到了阻碍。因此,我们整理了来自多个鱼类胃内容物数据库的数据,这些数据取自北大西洋和北冰洋的样本,包含从幼鱼到成鱼的 944 129 个胃样本,以及 227 个捕食者物种和 2158 个猎物类群之间 14 196 种独特的相互作用。我们利用这些数据开发了一种数据驱动的、可重复的方法来对广泛的功能性摄食行会进行分类,然后将其应用于东北大西洋大陆架海域的鱼类调查数据,以揭示生态系统结构和功能的时空变化。在此过程中,我们构建了捕食者-猎物体型比例模型,以预测不同捕食者物种的猎物功能群(如浮游动物、底栖生物和鱼类)的生物量。这些预测提供了鱼类物种和体型特异性摄食特征的经验估计,如捕食者-猎物质量比、个体猎物质量以及不同猎物对捕食者食物的生物量贡献。这里提供的功能分组和摄食特征有助于进一步了解海洋食物网中的相互作用,并支持在生物多样性评估中使用基于特征的指标。本研究使用的数据和预测结果发布在 Cefas 数据中心:https://doi.org/10.14466/CefasDataHub.149(Thompson 等人,2024 年)。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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